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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 9006
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    Explanations

    references to vulnerabilities or weaknesses

    oai_token-act-pair · gpt-3.5-turbo

    references to weaknesses or vulnerabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rea
    -0.88
    agher
    -0.71
    rolley
    -0.67
     Plymouth
    -0.66
    nee
    -0.66
    aston
    -0.65
    rote
    -0.65
    lake
    -0.64
    haw
    -0.64
     Hemp
    -0.64
    POSITIVE LOGITS
     weakness
    1.35
     weaknesses
    1.08
     Weak
    0.96
    Weak
    0.92
    nesses
    0.89
     aversion
    0.85
     limitation
    0.83
     vulner
    0.81
     strugg
    0.80
     weakening
    0.79
    Activations Density 0.006%

    No Known Activations